A Metrics Suite for Object Oriented Design

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A Metrics Suite for Object Oriented Design (1994)

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by Shyam R. Chidamber , Chris F. Kemerer

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1108 - 3 self

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@MISC{Chidamber94ametrics,
    author = {Shyam R. Chidamber and Chris F. Kemerer},
    title = {A Metrics Suite for Object Oriented Design},
    year = {1994}
}

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Abstract

Given the central role that software development plays in the delivery and application of information technology, managers are increasingly focusing on process improvement in the software development area. This demand has spurred the provision of a number of new and/or improved approaches to software development, with perhaps the most prominent being object-orientation (00). In addition, the focus on process im-provement has increased the demand for software measures, or metrics with which to manage the process. The need for such metrics is particularly acute when an organization is adopting a new technology for which established practices have yet to be developed. This research addresses these needs through the development and implementation of a new suite of metrics for 00 design. Metrics developed in previous research, while con-tributing to the field’s understanding of software development processes, have generally been subject to serious criticisms, in-cluding the lack of a theoretical base. Following Wand and Weber, the theoretical base chosen for the metrics was the ontology of Bunge. Six design metrics are developed, and then analytically evaluated against Weyuker’s proposed set of measurement prin-ciples. An automated data collection tool was then developed and implemented to collect an empirical sample of these metrics at two field sites in order to demonstrate their feasibility and suggest ways in which managers may use these metrics for process improvement.

Keyphrases

metric suite object oriented design process improvement software engineering automated data collection tool theoretical base theoretical base chosen software development process subject descriptor previous research measurement prin-ciples central role software measure serious criticism index term cr category empirical sample process im-provement new technology problem complex-ity complexity measure new suite information system abstruct given six design metric information technology software management software development software development play field site software development area

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